Enhanced LexSynonym Acquisition for Effective UMLS Concept Mapping

摘要：

　　Concept mapping is important in natural language processing (NLP) for bioinformatics. The UMLS Metathesaurus provides a rich synonym thesaurus and is a popular resource for concept mapping. Query expansion using synonyms for subterm substitutions is an effective technique to increase recall for UMLS concept mapping. Synonyms used to substitute subterms are called element synonyms. The completeness and quality of both element synonyms and the UMLS synonym thesaurus is the key to success in such applications. The Lexical Systems Group (LSG) has developed a new system for element synonym acquisition based on new enhanced requirements and design for better performance. The results show: 1) A 36.71 times growth of synonyms in the Lexicon (lexSynonym) in the 2017 release; 2) Improvements of concept mapping for recall and F1 with similar precision using the lexSynonym.2017 as element synonyms due to the broader coverage and better quality.

关键词： Natural Language Processing Semantics Unified Medical Language System

作者: Chris J.Lu Destinee Tormey Lynn McCreedy Allen C.Browne

作者单位: National Library of Medicine,Bethesda,MD,USA;Medical Science & Computing,Inc.,Rockville,MD,USA National Library of Medicine,Bethesda,MD,USA

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 501-505

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）